Spectral mixture analysis is an important task for remotely sensed hyperspectral data interpretation. In spectral unmixing, both the determination of spectrally pure signatures (e...
Recent advances in high-speed networks, rapid improvements in microprocessor design, and availability of highly performing clustering software implementations enables cost-effecti...
Ghassan Fadlallah, Michel Lavoie, Louis-A. Dessain...
Digital images are convenient media for describing and storing spatial, temporal, spectral, and physical components of information contained in a variety of domains(e.g. aerial/sa...
Sabyasachi Dey, Bhargab B. Bhattacharya, Malay Kum...
Many recent research efforts have been devoted to the use of commodity hardware for solving computationallyintensive scientific problems. Among such problems, hyperspectral imagi...
Javier Setoain, Christian Tenllado, Manuel Prieto,...
Although the processing of data streams has been the focus of many research efforts in several areas, the case of remotely sensed streams in scientific contexts has received less...